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GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 5 months ago
Handling dynamic data structures in search based testing
There has been little attention to search based test data generation in the presence of pointer inputs and dynamic data structures, an area in which recent concolic methods have e...
Kiran Lakhotia, Mark Harman, Phil McMinn
ICML
2009
IEEE
16 years 4 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CHI
2005
ACM
16 years 4 months ago
Automatic generation of high coverage usability tests
Software systems are often complex in the number of features that are available through the user interface and consequently, the number of interactions that can occur. Such system...
Renée C. Bryce
ISSRE
2006
IEEE
15 years 10 months ago
Metamodel-based Test Generation for Model Transformations: an Algorithm and a Tool
In a Model-Driven Development context (MDE), model transformations allow memorizing and reusing design know-how, and thus automate parts of the design and refinement steps of a so...
Erwan Brottier, Franck Fleurey, Jim Steel, Benoit ...
ACIVS
2005
Springer
15 years 9 months ago
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
Jan Sijbers, Arnold Jan den Dekker, Robert Bos